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. 2008 Sep;46(9):954-62.
doi: 10.1097/MLR.0b013e318179199f.

The impact of symptoms and impairments on overall health in US national health data

Susan T Stewart  1 , Rebecca M Woodward, Allison B Rosen, David M Cutler
Affiliations

The impact of symptoms and impairments on overall health in US national health data

Susan T Stewart et al. Med Care. 2008 Sep.

Abstract

Objective: To assess the effects on overall self-rated health of the broad range of symptoms and impairments that are routinely asked about in national surveys.

Data: We use data from adults in the nationally representative Medical Expenditure Panel Survey (MEPS) 2002 with validation in an independent sample from MEPS 2000.

Methods: Regression analysis is used to relate impairments and symptoms to a 100-point self-rating of general health status. The effect of each impairment and symptom on health-related quality of life (HRQOL) is estimated from regression coefficients, accounting for interactions between them.

Results: Impairments and symptoms most strongly associated with overall health include pain, self-care limitations, and having little or no energy. The most prevalent are moderate pain, severe anxiety, moderate depressive symptoms, and low energy. Effects are stable across different waves of MEPS, and questions cover a broader range of impairments and symptoms than existing health measurement instruments.

Conclusions: This method makes use of the rich detail on impairments and symptoms in existing national data, quantifying their independent effects on overall health. Given the ongoing availability of these data and the shortcomings of traditional utility methods, it would be valuable to compare existing HRQOL measures to other methods, such as the one presented herein, for use in tracking population health over time.

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Figures

FIGURE 1
FIGURE 1
Weights for impairments and symptoms based on regression of 100-point ratings in MEPS 2002.
See this image and copyright information in PMC

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References

    1. DeSalvo KB, Bloser N, Reynolds K, et al. Mortality prediction with a single general self-rated health question. A meta-analysis. J Gen Intern Med. 2006;21:267–275. - PMC - PubMed
    1. Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997;38:21–37. - PubMed
    1. Idler EL, Kasl SV. Self-ratings of health: do they also predict change in functional ability? J Gerontol B Psychol Sci Soc Sci. 1995;50:S344–S353. - PubMed
    1. Fylkesnes K, Forde OH. The Tromso Study: predictors of self-evaluated health— has society adopted the expanded health concept? Soc Sci Med. 1991;32:141–146. - PubMed
    1. Fylkesnes K, Forde OH. Determinants and dimensions involved in self-evaluation of health. Soc Sci Med. 1992;35:271–279. - PubMed

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